Design, develop, and maintain cloud-native data platforms and scalable ETL/ELT pipelines using AWS services, Python, SQL, and Spark/PySpark.
Build and optimize data processing workflows using AWS S3, Glue, EMR, Athena, and Aurora PostgreSQL.
Implement CDC, data modeling, data integration, and event-driven data pipelines to support reliable and efficient data delivery.
Establish data governance, monitoring CI/CD, and operational processes using GitHub Actions and related DevOps practices.
Collaborate with stakeholders and Agile teams to troubleshoot data issues, improve platform performance, and deliver high-quality data solutions.
Skills Required:
Strong hands-on experience with SQL, Python, AWS, ETL/ELT, data modeling, and Spark/PySpark.
Proficiency in AWS S3, Glue, EMR, Athena, and Aurora PostgreSQL, with experience supporting production data platforms.
Practical knowledge of CDC, data governance, CI/CD, GitHub Actions, monitoring, and operational databases.
Exposure to Kafka/MSK, Terraform, and event-driven architectures; experience with Snowflake and dbt is an added advantage.
Solid problem-solving, stakeholder management, communication, and Agile delivery skills.
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📌 Aws Data Engineer (New South Wales)
🏢 Kaizen Global Technologies
📍 New South Wales